A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications
Anomalous runtime behavior detection is one of the most important tasks for performance diagnosis in High Performance Computing (HPC). Most of the existing methods find anomalous executions based on the properties of individual functions, such as execution time. However, it is insufficient to identi...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - (2018) vom: 20. Aug. |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article |
| Online verfügbar |
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